Minimalist Qualitative Models for Model Checking Cyber-Physical Feature Coordination

Rathmair, Michael; Luckeneder, Christoph; Kaindl, Hermann

doi:10.1109/apsec.2016.041

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…An innovative approach for verification developed in the ForSAMARA 8 project is the utilization of formal methods for safety verification of robotic assistive systems. Such methods, in particular symbolic model checking, result in a mathematical verification proof, while conventional verification approaches are based on test scenarios (informal methods) just selectively increase the confidence of the system [19][20][21][22]. As illustrated in Fig.…”

Section: Safety Test and Verification Processes Are Not That Accurate...mentioning

confidence: 99%

Safety as Bad Cop of Physical Assistance Systems?

Rathmair

Brandstötter

2021

IFIP Advances in Information and Communication Technology

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Constantly increasing variety of products and customer-specific requirements lead to more complex assembly lines in the shop floors. These new demands require novel systems and technologies such as flexible assembly lines, track and trace systems or assistive systems. In this paper, supporting systems on the physical level are analyzed and in particular robot assistance systems with respect to their safety aspects are discussed. Moreover, the current standards and guidelines in the field of robot safety and their development focus are presented. It is intended to provide a comprehensive overview of what role safety actually plays with assistance systems and how ongoing research may affect it in future.

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Section: Safety Test and Verification Processes Are Not That Accurate...mentioning

confidence: 99%

Safety as Bad Cop of Physical Assistance Systems?

Rathmair

Brandstötter

2021

IFIP Advances in Information and Communication Technology

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“…While ACC is already well understood as a single feature from an engineering viewpoint [11], we model it as a composite feature that coordinates CC and DC. Still, we follow the engineering-approved coordination scheme selecting the minimum speed request of both features [11], which was also shown to work as desired in [6,8].…”

Section: Introductionmentioning

confidence: 99%

“…For studying all possible behaviors and the corresponding coordination of features, model checking (see, e.g., [1]) is preferable to simulation. However, due the combinatorics involved, only a minimalist qualitative model of the cyberphysical system was used for this purpose in [8].…”

Section: Introductionmentioning

confidence: 99%

Semi-symbolic Simulation and Analysis of Deviation Propagation of Feature Coordination in Cyber-physical Systems

Rathmair¹,

Luckeneder²,

Kaindl³

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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For studying the effects of deviations for uncertain inputs of systems, often multi-run simulation is employed, which is time-consuming. Unfortunately, such simulations also do not directly support the traceability of such effects. A semisymbolic modeling approach based on Affine Arithmetic Forms allows the representation of uncertainty in terms of ranges. Simulations of such models directly include propagation of deviations and their traceability. This paper presents such a semi-symbolic model of a cyber-physical system including coordination of safety-critical and interacting features. For feature coordination, this model introduces handling discrete uncertainty with two different behavioral modes and their integration. Based on this model, a single simulation run allowed us studying the effects of several deviations. In addition, this modeling approach facilitates specific analyses of deviations based on the traceability information. As a result from simulation and analyses, we got a better understanding of the different deviation propagations within our model.

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